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Symbolab is an answer engine [1] that provides step-by-step solutions to mathematical problems in a range of subjects. [2] It was originally developed by Israeli start-up company EqsQuest Ltd., under whom it was released for public use in 2011.
In July 2011, Google announced that it was discontinuing Google Labs. [3] Although many of the experiments have been discontinued, a few have moved to the main search pages or have been integrated into other products. Google still has many links to its defunct "Labs" tools in Google blogs that are readily accessible through a Google search.
Google offers an extension for Google Chrome, Save to Google Drive, that allows users to save web content to Google Drive through a browser action or through the context menu. While documents and images can be saved directly, webpages can be saved in the form of a screenshot (as an image of the visible part of the page or the entire page), or ...
Recurrent neural networks (RNNs) are a class of artificial neural network commonly used for sequential data processing. Unlike feedforward neural networks, which process data in a single pass, RNNs process data across multiple time steps, making them well-adapted for modelling and processing text, speech, and time series.
The Dubins' path gives the shortest path joining two oriented points that is feasible for the wheeled-robot model. The optimal path type can be described using an analogy with cars of making a 'right turn (R)', 'left turn (L)' or driving 'straight (S).' An optimal path will always be at least one of the six types: RSR, RSL, LSR, LSL, RLR, LRL.
A preventative measure for the drive-letter hazard is to use volume GUID path syntax, [20] rather than paths containing volume drive letters, when specifying the target path for a directory junction. For example, consider creating an alias for X:\Some\Other\Path at X:\Some\Path\Foo: X:\Some\Path> linkd Foo X:\Some\Other\Path
Word2vec was created, patented, [7] and published in 2013 by a team of researchers led by Mikolov at Google over two papers. [1] [2] The original paper was rejected by reviewers for ICLR conference 2013. It also took months for the code to be approved for open-sourcing. [8] Other researchers helped analyse and explain the algorithm. [4]
The idea of fuzzy checksum was developed for detection of email spam by building up cooperative databases from multiple ISPs of email suspected to be spam. The content of such spam may often vary in its details, which would render normal checksumming ineffective.